Health Program Data Analysis

What does it mean to analyze the collected data from a program evaluation? An analysis involves reviewing
multiple components, such as analyzing and synthesizing findings. This includes tabulating information to
explore how many individuals participate in the program, reviewing demographics, analyzing the number of
participants achieving the outcome goals, and analyzing and stratifying data by race, gender, age, income
level, and geographic locations. It is also important to conduct a comparative analysis to review strengths,
weaknesses, and any limitations and to review gaps. The next step is combining all of this information to make
decisions and present to stakeholders for further input and suggestions regarding the program.
Using the readings for this week, the South University Online Library, and the Internet, obtain scholarly articles
and materials to draw inferences and support your philosophy. Review the textbook readings that will help you
respond to this assignment.
Respond to the following:
Compare and contrast qualitative and quantitative methods used for designing a program. (Use a 2×2-table
format to present your analysis).
Review the decision tree for statistics. You can review the tree online at the following:
The Decision Tree for Statistics. (n.d.).
After reviewing the information:
Select three public health statistical methods that you would use in a public health program for your selected
health issue or health disease topic.
Provide a complete analysis for each statistical method.
Explain why these methods are important and what data or information you could obtain for your program